{"id":"W4280600351","doi":"10.1016/j.bone.2022.116432","title":"In vivo microCT-based time-lapse morphometry reveals anatomical site-specific differences in bone (re)modeling serving as baseline parameters to detect early pathological events","year":2022,"lang":"en","type":"article","venue":"Bone","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Shriners Hospitals for Children - Canada","funders":"International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Deutsche Forschungsgemeinschaft; Shriners Hospitals for Children","keywords":"Tibia; Biomedical engineering; Cortical bone; In vivo; Femur; Bone remodeling; Anatomy; Medicine; Biology; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002567566,0.0003626908,0.0002536998,0.0005822867,0.0002035079,0.0004757155,0.0002572271,0.0003714477,0.0009527049],"category_scores_gemma":[0.0003963981,0.0002151393,0.0001986765,0.0003879427,0.0004657215,0.0002974402,0.0001806574,0.0005805375,0.0002446985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000397383,"about_ca_system_score_gemma":0.000273788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606659,"about_ca_topic_score_gemma":0.0031277,"domain_scores_codex":[0.9998125,0.00001700917,0.000009077141,0.0000497349,0.00008147361,0.00003009856],"domain_scores_gemma":[0.9996635,0.00008252246,0.0001085499,0.00005518791,0.00006219701,0.00002808515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003266613,0.00001848464,0.0009348834,0.00001805241,0.000003711145,0.00002192571,0.0000242215,0.0002778875,0.9956279,0.0001634168,0.00006120971,0.002815633],"study_design_scores_gemma":[0.000003565922,0.0001311097,0.02747076,0.000004172486,0.00002203255,0.0002108229,0.00006731014,0.0101256,0.960584,0.000143797,0.001223322,0.00001362798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793246,0.0009622706,0.1149736,0.0001379643,0.00006531351,0.0000666814,0.0007960616,0.001212295,0.002461311],"genre_scores_gemma":[0.9343155,0.0008560393,0.06176087,0.00007269838,0.00002903115,0.0001292269,0.0005055183,0.000172557,0.002158474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001606659,"threshold_uncertainty_score":0.003194571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504514232810186,"score_gpt":0.2925198195249678,"score_spread":0.2574746771968659,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}